Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China
Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Huang, Jin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature Switzerland AG 2019 |
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| Übergeordnetes Werk: |
Enthalten in: International journal of plant production - [Cham] : Springer International Publishing, 2007, 13(2019), 2 vom: 04. Feb., Seite 93-102 |
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| Übergeordnetes Werk: |
volume:13 ; year:2019 ; number:2 ; day:04 ; month:02 ; pages:93-102 |
| Links: |
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| DOI / URN: |
10.1007/s42106-019-00038-8 |
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| Katalog-ID: |
SPR03842116X |
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| 520 | |a Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. | ||
| 650 | 4 | |a Climate–yield relationship |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Winter oilseed rape |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a China |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Jiangsu |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zhou, Limin |4 aut | |
| 700 | 1 | |a Zhang, Fangmin |4 aut | |
| 700 | 1 | |a Hu, Zhenghua |4 aut | |
| 700 | 1 | |a Li, Yin |4 aut | |
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10.1007/s42106-019-00038-8 doi (DE-627)SPR03842116X (SPR)s42106-019-00038-8-e DE-627 ger DE-627 rakwb eng Huang, Jin verfasserin aut Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. Climate–yield relationship (dpeaa)DE-He213 Winter oilseed rape (dpeaa)DE-He213 China (dpeaa)DE-He213 Jiangsu (dpeaa)DE-He213 Zhou, Limin aut Zhang, Fangmin aut Hu, Zhenghua aut Li, Yin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 13(2019), 2 vom: 04. Feb., Seite 93-102 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:13 year:2019 number:2 day:04 month:02 pages:93-102 https://dx.doi.org/10.1007/s42106-019-00038-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 13 2019 2 04 02 93-102 |
| spelling |
10.1007/s42106-019-00038-8 doi (DE-627)SPR03842116X (SPR)s42106-019-00038-8-e DE-627 ger DE-627 rakwb eng Huang, Jin verfasserin aut Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. Climate–yield relationship (dpeaa)DE-He213 Winter oilseed rape (dpeaa)DE-He213 China (dpeaa)DE-He213 Jiangsu (dpeaa)DE-He213 Zhou, Limin aut Zhang, Fangmin aut Hu, Zhenghua aut Li, Yin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 13(2019), 2 vom: 04. Feb., Seite 93-102 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:13 year:2019 number:2 day:04 month:02 pages:93-102 https://dx.doi.org/10.1007/s42106-019-00038-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 13 2019 2 04 02 93-102 |
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10.1007/s42106-019-00038-8 doi (DE-627)SPR03842116X (SPR)s42106-019-00038-8-e DE-627 ger DE-627 rakwb eng Huang, Jin verfasserin aut Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. Climate–yield relationship (dpeaa)DE-He213 Winter oilseed rape (dpeaa)DE-He213 China (dpeaa)DE-He213 Jiangsu (dpeaa)DE-He213 Zhou, Limin aut Zhang, Fangmin aut Hu, Zhenghua aut Li, Yin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 13(2019), 2 vom: 04. Feb., Seite 93-102 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:13 year:2019 number:2 day:04 month:02 pages:93-102 https://dx.doi.org/10.1007/s42106-019-00038-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 13 2019 2 04 02 93-102 |
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10.1007/s42106-019-00038-8 doi (DE-627)SPR03842116X (SPR)s42106-019-00038-8-e DE-627 ger DE-627 rakwb eng Huang, Jin verfasserin aut Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. Climate–yield relationship (dpeaa)DE-He213 Winter oilseed rape (dpeaa)DE-He213 China (dpeaa)DE-He213 Jiangsu (dpeaa)DE-He213 Zhou, Limin aut Zhang, Fangmin aut Hu, Zhenghua aut Li, Yin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 13(2019), 2 vom: 04. Feb., Seite 93-102 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:13 year:2019 number:2 day:04 month:02 pages:93-102 https://dx.doi.org/10.1007/s42106-019-00038-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 13 2019 2 04 02 93-102 |
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10.1007/s42106-019-00038-8 doi (DE-627)SPR03842116X (SPR)s42106-019-00038-8-e DE-627 ger DE-627 rakwb eng Huang, Jin verfasserin aut Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. Climate–yield relationship (dpeaa)DE-He213 Winter oilseed rape (dpeaa)DE-He213 China (dpeaa)DE-He213 Jiangsu (dpeaa)DE-He213 Zhou, Limin aut Zhang, Fangmin aut Hu, Zhenghua aut Li, Yin aut Enthalten in International journal of plant production [Cham] : Springer International Publishing, 2007 13(2019), 2 vom: 04. Feb., Seite 93-102 (DE-627)529090082 (DE-600)2299088-4 1735-6814 nnns volume:13 year:2019 number:2 day:04 month:02 pages:93-102 https://dx.doi.org/10.1007/s42106-019-00038-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 13 2019 2 04 02 93-102 |
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Huang, Jin @@aut@@ Zhou, Limin @@aut@@ Zhang, Fangmin @@aut@@ Hu, Zhenghua @@aut@@ Li, Yin @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR03842116X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328213826.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s42106-019-00038-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR03842116X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s42106-019-00038-8-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Huang, Jin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Nature Switzerland AG 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. 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Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China Climate–yield relationship (dpeaa)DE-He213 Winter oilseed rape (dpeaa)DE-He213 China (dpeaa)DE-He213 Jiangsu (dpeaa)DE-He213 |
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regional climate–yield relationship for winter oilseed rape in jiangsu province, southeast china |
| title_auth |
Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China |
| abstract |
Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. © Springer Nature Switzerland AG 2019 |
| abstractGer |
Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. © Springer Nature Switzerland AG 2019 |
| abstract_unstemmed |
Abstract The responds of oilseed rape yield to climate changes was not reported in China, and the climate–yield statistical relationship for winter oilseed rape constructed in Jiangsu province, southeast China should be a valuable attempt. With using climate and yield data at 52 stations in Jiangsu during 1961–2012, the main findings in this study were as follows: (1) correlation analysis between oilseed rape yield and seasonal climate variables indicated that average temperature difference (TD), total rainfalls (RF), total rainy days (RD), total sunshine hours (SH), and average relative humidity (RH) in spring were the key agro-meteorological indicators significantly affecting yield; (2) according to the principal component analysis on the five selected indicators in all stations, this province was classified as four climactic sub-regions for oilseed rape production: north, central-north, central-south, and south Jiangsu, respectively; (3) the significant responses of oilseed rape yield to spring climate variability were detected in central-south and south Jiangsu, and the strong decreasing trends of RF, RD, and RH during study periods in this region had increased yield by up to 0.68%, 1.44%, and 5.68%, respectively; (4) spring RD in the central-south and south Jiangsu was screened as the leading indicator for oilseed rape, and it showed a significant decrease after 1985. © Springer Nature Switzerland AG 2019 |
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Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China |
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https://dx.doi.org/10.1007/s42106-019-00038-8 |
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Zhou, Limin Zhang, Fangmin Hu, Zhenghua Li, Yin |
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Zhou, Limin Zhang, Fangmin Hu, Zhenghua Li, Yin |
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10.1007/s42106-019-00038-8 |
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2024-07-03T18:00:20.561Z |
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| score |
7.3999987 |